Researchers at Stanford Medicine are putting together a guide for principled implementation of artificial intelligence in health care.
Researchers conducted a study to look back at 50 years of innovation, tracking how trends in technology have changed.
Researchers are addressing bias in algorithms that detect dermatology diseases by adding more diverse skin tone images to data sets.
Researchers are using a new artificial intelligence-based program to help identify genes that underly diseases.
Researchers discuss the need for ethics and its integration into research projects that harness artificial intelligence.
Stanford psychiatrist Anna Lembke’s book, Dopamine Nation, explains our brain chemistry's role in modern society's addiction to social media.
Steps must be taken to prevent bias in sex, gender and race in health data gathered using artificial intelligence, Stanford researchers write.
Scientists have created an AI tool to help doctors more precisely choose colorectal cancer treatments that will work best on individual patients.
A device to prevent falls and another to better diagnose people with developmental disorders are among the AI projects funded under a new grant program.
Tracking brainwave patterns and symptoms in patients with depression, researchers used artificial intelligence to predict best treatment options.
Technology has made it possible for Stanford Medicine residents to continue learning and caring for patients safely during the COVID-19 era.
Researchers are using artificial intelligence to detect abnormalities in the heart through an algorithm that assesses the rate that a heart pumps blood.
Ethical and legal issues accompany the potential benefits of using computer vision-based ambient intelligence in health care.
In this episode of "The Future of Everything," host Russ Altman and guest Ross Shachter discuss how AI can help radiologists with diagnosis accuracy.
Stanford Medicine faculty Audrey Shafer and Mary Hawn shared experiences from their memorable college summers with Stanford News.
Stanford researchers have designed a new AI tool to help clinicians identify brain aneurysms. HeadXNet is designed to work with, not replace, radiologists.
